--- title: "gate22 vs agent-starter-pack" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aipotheosis-labs-gate22-vs-googlecloudplatform-agent-starter-pack" tools: ["aipotheosis-labs-gate22", "googlecloudplatform-agent-starter-pack"] --- # gate22 vs agent-starter-pack *GraphCanon updated Jul 15, 2026* ## Verdict Pick gate22 if gate22 is an open-source MCP gateway and control plane for governing AI agents' tool usage and actions with comprehensive auditability; pick agent-starter-pack if agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python. [gate22](https://gateway.aci.dev) reports 177 GitHub stars, 22 forks, and 23 open issues, last pushed Dec 12, 2025. [agent-starter-pack](http://goo.gle/agents-cli) has 6.5k stars, 1.5k forks, and 48 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [gate22's repository](https://github.com/aipotheosis-labs/gate22) and [agent-starter-pack's repository](https://github.com/GoogleCloudPlatform/agent-starter-pack). | | [gate22](/tools/aipotheosis-labs-gate22.md) | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | | --- | --- | --- | | Tagline | MCP gateway and control plane for agent governance | Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability | | Stars | 177 | 6,514 | | Forks | 22 | 1,496 | | Open issues | 23 | 48 | | Language | TypeScript | Python | | Adopt for | Gate22 is an open-source MCP gateway and control plane for governing AI agents' tool usage and actions with comprehensive auditability. | agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gate22](/tools/aipotheosis-labs-gate22.md) | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 215d | 0d | | Open issues (now) | 23 | 48 | | Full report | [trust report](/tools/aipotheosis-labs-gate22/trust.md) | [trust report](/tools/googlecloudplatform-agent-starter-pack/trust.md) | ## Decision facts: gate22 - **Adopt for:** Gate22 is an open-source MCP gateway and control plane for governing AI agents' tool usage and actions with comprehensive auditability. ## Decision facts: agent-starter-pack - **Requirements:** Depends on Python 3.10+.; Requires the Google Cloud SDK for interacting with GCP services.; Terraform is needed for deployment purposes.; Make utility should be installed for development tasks. - **Adopt for:** agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python. ## Choose when ### Choose gate22 if… - gate22 is primarily TypeScript; agent-starter-pack is Python. - Tags unique to gate22: ai-agents, control-plane, gateway, guardrails. - When you need to standardize governance over the tools and actions across various AI environments such as agentic IDEs. ### Choose agent-starter-pack if… - agent-starter-pack is primarily Python; gate22 is TypeScript. - Requirements: Depends on Python 3.10+.; Requires the Google Cloud SDK for interacting with GCP services.; Terraform is needed for deployment purposes.; Make utility should be installed for development tasks.. - Tags unique to agent-starter-pack: gcp, gemini, genai-agents, generative-ai. - You are working with Google Cloud and wish to deploy generative AI agents quickly using production-ready templates that come with integrated CI/CD pipelines. ## When NOT to use gate22 - For scenarios where a closed-source solution is preferred due to specific confidentiality or proprietary concerns. - If the organization's tech stack does not align well with TypeScript, which Gate22 employs for its development. ## When NOT to use agent-starter-pack - Your project is hosted on a cloud provider other than Google Cloud, as this tool is optimized for GCP services and uses Terraform specifically configured for deployment with it. - You do not need or want built-in CI/CD pipelines and evaluation tools, preferring to manage these components separately through different tools or self-configured setups. ## Common questions ### What is the difference between gate22 and agent-starter-pack? gate22: MCP gateway and control plane for agent governance. agent-starter-pack: Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability. See the comparison table for live GitHub stats and shared categories. ### When should I choose gate22 over agent-starter-pack? Choose gate22 over agent-starter-pack when gate22 is primarily TypeScript; agent-starter-pack is Python; Tags unique to gate22: ai-agents, control-plane, gateway, guardrails; When you need to standardize governance over the tools and actions across various AI environments such as agentic IDEs. ### When should I choose agent-starter-pack over gate22? Choose agent-starter-pack over gate22 when agent-starter-pack is primarily Python; gate22 is TypeScript; Requirements: Depends on Python 3.10+.; Requires the Google Cloud SDK for interacting with GCP services.; Terraform is needed for deployment purposes.; Make utility should be installed for development tasks.; Tags unique to agent-starter-pack: gcp, gemini, genai-agents, generative-ai; You are working with Google Cloud and wish to deploy generative AI agents quickly using production-ready templates that come with integrated CI/CD pipelines. ### When should I avoid gate22? For scenarios where a closed-source solution is preferred due to specific confidentiality or proprietary concerns. If the organization's tech stack does not align well with TypeScript, which Gate22 employs for its development. ### When should I avoid agent-starter-pack? Your project is hosted on a cloud provider other than Google Cloud, as this tool is optimized for GCP services and uses Terraform specifically configured for deployment with it. You do not need or want built-in CI/CD pipelines and evaluation tools, preferring to manage these components separately through different tools or self-configured setups. ### Is gate22 or agent-starter-pack more popular on GitHub? agent-starter-pack has more GitHub stars (6,514 vs 177). Stars measure visibility, not whether either tool fits your constraints. ### Are gate22 and agent-starter-pack open source? Yes - both are open-source projects on GitHub (gate22: Apache-2.0, agent-starter-pack: Apache-2.0). ### Where can I find alternatives to gate22 or agent-starter-pack? GraphCanon lists graph-backed alternatives at [gate22 alternatives](/tools/aipotheosis-labs-gate22/alternatives) and [agent-starter-pack alternatives](/tools/googlecloudplatform-agent-starter-pack/alternatives) ([gate22 markdown twin](/tools/aipotheosis-labs-gate22/alternatives.md), [agent-starter-pack markdown twin](/tools/googlecloudplatform-agent-starter-pack/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/aipotheosis-labs-gate22-vs-googlecloudplatform-agent-starter-pack.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, gate22 or agent-starter-pack? gate22: Slowing. agent-starter-pack: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for gate22 and agent-starter-pack? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gate22 trust report](/tools/aipotheosis-labs-gate22/trust); [agent-starter-pack trust report](/tools/googlecloudplatform-agent-starter-pack/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aipotheosis-labs-gate22`](/api/graphcanon/graph?tool=aipotheosis-labs-gate22) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_